Job description

Valorem Reply, part of the Reply Network, is a leader in Microsoft-based IT solutions. We support and advise our Giant Tech customers in all aspects of Microsoft, and other industry-leading technologies. From designing and developing custom solutions and low-code solutions, to implementing and managing them seamlessly, Valorem Reply helps customers unlock the potential of their IT infrastructure to enable their sales and partner initiatives. Accelerate your career by working with the largest technology clients in the world. Join this diverse team that thrives on innovation and making a real-world impact. This role sits at the intersection of platform engineering, data engineering, and data product development within financial services applications. Leading with platform engineering - and with data engineering as the assumed foundation - the engineer builds reusable platform capabilities and data products that let quantitative researchers discover, access, and consume data across a complex, disparate landscape, and then accelerates the good prototypes to production. • Design, build, and enhance platform capabilities within Databricks and related technologies. • Evaluate and adopt emerging platform features and technologies; run the self-assessments and technology evaluations research initiatives depend on. • Improve governance, automation, observability, security, and operational excellence. • Help define the target-state architecture for custom platform. • Work through AI agents by default. Use agentic tools to design, build, test, and operate, and know when to trust them versus verify. Required Skills • Hands-on Databricks experience across workspace, notebooks, and jobs, plus building platform capabilities on it (not just using it). • Strong Python and SQL. • Platform-engineering foundation: infrastructure as code with Terraform and modern CI/CD. • Data governance and observability in a managed environment (e.g. Unity Catalog, lineage, monitoring). • Strong workflow orchestration experience with Apache Airflow (we use Astro / Astronomer). • Building and operating data pipelines that integrate disparate, heterogeneous data sources. • Building reusable, self-service data products for non-engineer end users (researchers/analysts). • An AI-first mindset: fluent with agentic coding tools (e.g. Claude Code) and eager to make them central to how the team works. About Reply Reply specializes in the design and implementation of solutions based on new communication channels and digital media. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things. Reply services include Consulting, System Integration and Digital Services. The base compensation range for this full-time position is between $135,000 - $155,000 plus benefits. Compensation decisions are supported through market data, where regional variances may exist based on cost of labor. We also take into consideration prior experience, relevant skills, education and/or training, certifications and, as applicable, other required qualifications. If you have questions regarding compensation, the talent acquisition team can provide relevant details during the interview process. Reply is an equal opportunity employer. We are committed to provide equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you need assistance and reasonable accommodation due to a disability during the application or the recruiting process, email us at jobusa@reply.com. Visit our website at www.reply.com to learn more about our open roles.

Requirements

Must-haves

Accelerate your career by working with the largest technology clients in the world. Join this diverse team that thrives on innovation and making a real-world impact.
Design, build, and enhance platform capabilities within Databricks and related technologies.
Evaluate and adopt emerging platform features and technologies; run the self-assessments and technology evaluations research initiatives depend on.
Improve governance, automation, observability, security, and operational excellence.
Help define the target-state architecture for custom platform.
Work through AI agents by default. Use agentic tools to design, build, test, and operate, and know when to trust them versus verify.
Hands-on Databricks experience across workspace, notebooks, and jobs, plus building platform capabilities on it (not just using it).
Strong Python and SQL.
Platform-engineering foundation: infrastructure as code with Terraform and modern CI/CD.
Data governance and observability in a managed environment (e.g. Unity Catalog, lineage, monitoring).
Strong workflow orchestration experience with Apache Airflow (we use Astro / Astronomer).
Building and operating data pipelines that integrate disparate, heterogeneous data sources.
Building reusable, self-service data products for non-engineer end users (researchers/analysts).
An AI-first mindset: fluent with agentic coding tools (e.g. Claude Code) and eager to make them central to how the team works.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aipythonsqlci/cd

Platform: lever
Effort: quick